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For Companies At a Glance
- Tasks: Manage and optimise our cutting-edge compute platform for AI development.
- Company: Join a pioneering team from top tech giants like DeepMind and OpenAI.
- Benefits: Top-tier salary, comprehensive health benefits, and generous parental leave.
- Other info: Dynamic work environment with daily meals and team celebrations.
- Why this job: Make a real impact in the future of open superintelligence.
- Qualifications: Experience in systems engineering and strong coding skills required.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Our Mission Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role Reflection’s Compute Platform team specializes in keeping our compute layer healthy and highly available. We run a K8s-based platform distributed across multiple neo-clouds. We manage multi-cloud scheduling, node health, and performance debugging at this scale presents genuinely hard systems problems. More broadly, you will work closely with Reflection's training teams to co-design fault tolerance, node health checks, and remediation strategies.
What You’ll Do
- Cluster Management: Build and maintain tools for the automatic remediation, topology‑aware scheduling, capacity planning and rapid hardware debugging.
- Platform Engineering: Design and iterate on our cluster management stack for workloads across large, multi‑GPU fleets.
- Monitoring & Observability: Implement comprehensive cluster‑wide monitoring, focusing on durability and active performance benchmarking.
- Roadmap Execution: Prepare the infrastructure for next‑generation GPU deployments and increasingly larger cluster sizes. Long‑term, you will help own multi‑cloud storage, petabyte‑scale data replication, and GPU‑to‑GPU network performance.
What We’re Looking For
- Systems‑level engineering experience with a focus on cluster‑wide behavior and maintenance.
- Strong coding ability and a demonstrated focus on systems or GPU infrastructure.
- Deep GPU hardware knowledge beyond standard Kubernetes, e.g., familiarity with NCCL.
- Alignment with a K8s‑first architecture.
- Cloud storage expertise, specifically managing high‑performance data products (like VAST) across multiple data centers, connecting those storage environments together and handling datasets and checkpointing at scale.
What We Offer
- Top‑tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off‑sites and team celebrations.
Member of Technical Staff - Compute Platform employer: Reflection AI
Contact Detail:
Reflection AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff - Compute Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Reflection or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you’ve got a project or a GitHub repo that showcases your coding chops, make sure to highlight it during interviews. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on systems-level engineering concepts. Dive deep into cluster management and GPU infrastructure topics, as these are key to impressing us at Reflection.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Member of Technical Staff - Compute Platform
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and open superintelligence shine through. We want to see how your background aligns with our mission and how you can contribute to building something groundbreaking.
Tailor Your Experience: Make sure to highlight your systems-level engineering experience and any relevant projects you've worked on. Be specific about your skills in cluster management, GPU infrastructure, and cloud storage expertise to catch our eye!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and experiences. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Reflection AI
✨Know Your Tech Inside Out
Make sure you brush up on your systems-level engineering knowledge, especially around cluster management and GPU infrastructure. Be ready to discuss your experience with Kubernetes and any specific tools you've used for monitoring and observability.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex systems problems in the past. Think about times when you had to debug performance issues or implement fault tolerance strategies, and be ready to explain your thought process.
✨Align with Their Mission
Familiarise yourself with Reflection's mission to build open superintelligence. Be prepared to discuss how your values align with theirs and how you can contribute to making AI accessible to all.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in their projects and challenges. Inquire about their multi-cloud strategies or how they handle petabyte-scale data replication, as this demonstrates your understanding of the role and the industry.